FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fresh fruit and vegetable identification with web interface and customized blind glasses for visually impaired indivi... by Khondokar Oliullah, Md. Reazul Islam, Jahirul Islam Babar, M.A. Nur Quraishi, Md. Mahbubur Rahman, Md. Mahbub-Or-Rashid, T.M. Amir-Ul-Haque Bhuiyan

Get full text

Use of Nanoemulsion Technology in Dairy Industry by Binnur Kaptan

“…They are typically created using high-energy or low-energy methods and enable the encapsulation of functional food ingredients within droplets or at the interface, thereby increasing nutrient bioavailability and physical stability. …”
Get full text

Use of sewage sludge in concrete industry by I. L. Chulkova, O. E. Smirnova, A. V. Krasova

“…According to the literature data, possible directions of the use of sewage sludge in the production of building materials are identified and considered. …”
Get full text

Characterizing eye gaze and mental workload for assistive device control by Larisa Y.C. Loke, Demiana R. Barsoum, Todd D. Murphey, Brenna D. Argall

“…The resulting data allows us to build an individualized characterization for eye gaze interface use. Results from a study conducted with participants with motor impairments are presented, offering insights into maximizing the potential of eye gaze for assistive device control. …”
Get full text

Spatializing zoonotic disease dynamics from a political ecology perspective: Reconceptualizing spillover as structure by Ekaterina Gladkova, Francis Masse

“…This framework is intended to: 1. give critical attention to spatialities of animal-human-pathogen relations; 2. examine how and what political-economic, socio-cultural and other structural processes drive changes in these spatialities; and 3. investigate how changes in these spatialities intensify (or de-intensify) animal-human-pathogen relations and zoonotic risks. We use this framework to reconceptualize taken-for-granted and key components of zoonotic disease outbreaks – reservoirs, interfaces, and spillovers. …”
Get full text

Seeking a common human factors language for the development and testing of injection devices by Megan O. Conrad, Molly E. Laird, Mary Beth Privitera, Melissa R. Lemke, Molly Follette Story

“…Often utilized by patients and caregivers, it is important for injection device user interface (UI) design to be intuitive to use outside of a traditional healthcare setting. …”
Get full text

Investing in the future: an integrated model for analysing user attitudes towards Robo-advisory services with AI integration by Sandeep Singh, Atul Kumar

“…So, to improve the level of trust of users, it is necessary to develop security measures, data clarity and quality and customer support. Enhancing ease of use by incorporating better interface gestures is always beneficial for increasing the number of users and their level of satisfaction. …”
Get full text

Augmented and Virtual Reality for Improving Safety in Railway Infrastructure Monitoring and Maintenance by Marina Ricci, Nicola Mosca, Maria Di Summa

Get full text

Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study by Shuailei Zhang, Kai Keng Ang, Dezhi Zheng, Qianxin Hui, Xinlei Chen, Yang Li, Ning Tang, Effie Chew, Rosary Yuting Lim, Cuntai Guan

“…Most current feature extractors in BCI are classification-based methods, yet very few works from literature use metric learning based methods to learn representations for BCI. …”
Get full text

The Impact of Changing Ground-Floor Functions on Sidewalk Accessibility in Urban Spaces by Tuğçe Aladağ, Yelda Durgun Şahin

“…Findings reveal that diversifying commercial functions increases outdoor use and sidewalk encroachments, reducing accessibility and hindering pedestrian mobility. …”
Get full text

Decoding motor execution and motor imagery from EEG with deep learning and source localization by Sina Makhdoomi Kaviri, Ramana Vinjamuri

“…The use of noninvasive imaging techniques has become pivotal in understanding human brain functionality. …”
Get full text

Intelligent decision making system of department of medical institutions based on neural network, production and statistical models by O. I. Fedyaev, V. S. Bakalenko

Get full text

One-Dimensional Motion Representation for Standing/Sitting and Their Transitions by Geunho Lee, Yusuke Hayakawa, Takuya Watanabe, Chunhe Li

“…It is crucial to design interfaces that accommodate these movements. Additionally, in public settings, protecting personal information is essential. …”
Get full text

EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…This paper proposes a new method based on the Gaussian Mixture Model (GMM): First, we use the GMM to decompose data samples of the same category to obtain Gaussian coefficients and take the product of the probability coefficient and the weight matrix as the feature matrix. …”
Get full text

APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION by Sudeep Varshney, Aditi Chandra, Pushpendra Kumar Rajput, Sunil Kumar, Gunjan Varshney

“…The device based on machine learning is used to develop and evaluate a ‘Knowledge System’ that automatically extracts, synthesizes, and interprets findings from Brain Computer Interface (BCI) evaluation reports to generate new insights to conduct change and further develop forecast of intervention viability and permits clients to effectively and productively examine the framework to find solutions. …”
Get full text

A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability by Yukun Zhang, Chuncheng Zhang, Rui Jiang, Shuang Qiu, Huiguang He

“…A brain-computer interface (BCI) based on motor imagery (MI) can translate users’ subjective movement-related mental state without external stimulus, which has been successfully used for replacing and repairing motor function. …”
Get full text

3PB-analyzer: A python-based tool for automated three-point bending analysis by Yutao He, Xiaodie Fan, Xi Li, Rui Cheng, Bin Wang

“…Three-point bending is a widely used experimental method for evaluating the mechanical properties of materials, such as stiffness, strength, and fracture toughness. …”
Get full text

A Multi-Level Integrated EEG-Channel Selection Method Based on the Lateralization Index by Junhong Luo, Qing Liu, Pengrui Tai, Guanglin Li, Yongcheng Li

“…The importance of optimizing channel selection for portable brain-computer interface (BCI) technology is increasingly recognized. …”
Get full text

The GWAS-MAP|ovis platform for aggregation and analysis of genome-wide association study results in sheep by A. V. Kirichenko, A. S. Zlobin, T. I. Shashkova, N. A. Volkova, B. S. Iolchiev, V. A. Bagirov, P. M. Borodin, L. С. Karssen, Y. A. Tsepilov, Y. S. Aulchenko

Get full text

GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases [version 1; peer review: 2 approved] by Samir Bhatt, John-Stuart Brittain, Houriiyah Tegally, Rhys Inward, Joseph Tsui, Gaspary Mwanyika, Bernardo Gutierrez, Sofonias Kifle Tessema, Tuyen Huynh, Abhishek Dasgupta, John T. McCrone, George Githinji, Moritz U.G. Kraemer, Stephen Ratcliffe

“…Its user-driven ecosystem encourages continuous innovation in biomedical and epidemiological research but is applicable beyond that. Key use-cases include automated phylogenetic analysis of viral sequences, real-time outbreak monitoring, forecasting, and epidemiological data processing. …”
Get full text